dpt
Perform Diffusion Pseudotime (DPT) analysis on single-cell RNA sequencing data to identify developmental trajectories and branchings using configurable parameters such as diffusion components and group size thresholds.
Instructions
Diffusion Pseudotime (DPT) analysis
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| allow_kendall_tau_shift | No | If a very small branch is detected upon splitting, shift away from maximum correlation in Kendall tau criterion to stabilize the splitting. | |
| min_group_size | No | During recursive splitting of branches, do not consider groups that contain less than min_group_size data points. If a float, refers to a fraction of the total number of data points. | |
| n_branchings | No | Number of branchings to detect. | |
| n_dcs | No | The number of diffusion components to use. | |
| neighbors_key | No | If specified, dpt looks .uns[neighbors_key] for neighbors settings and uses the corresponding connectivities and distances. |